Data/hora: 08/06/2024 10:07:52

Provedor de dados: 	31	
País: 	United States	
Título: 	STATIC MODELING OF DYNAMIC RECREATION BEHAVIOR: IMPLICATIONS FOR PREDICTION AND WELFARE ESTIMATION	
Autores: 	Baerenklau,   Kenneth A.; Provencher,   Bill.	
Data: 	2004-05-17	
Ano: 	2004	
Palavras-chave: 	Research Methods/ Statistical Methods.	
Resumo: 	This paper examines the consequences of using a static model of recreation trip-taking behavior when the underlying decision problem is dynamic. In particular, we examine the implications for trip forecasting and welfare estimation using a panel dataset of Lake Michigan salmon anglers for the 1996 and 1997 fishing seasons. We derive and estimate both a structural dynamic model using Bellman's equation, and a reduced-form static model with trip probability expressions closely mimicking those of the dynamic model. We illustrate an inherent identification problem in the reduced-form model that creates biased welfare estimates, and we discuss the general implications of this for the interpretation of preference parameters in static models. We then use both models to simulate trip taking behavior and show that although their in-sample trip forecasts are similar, their welfare estimates and out-of-sample forecasts are quite different.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	14375

http://purl.umn.edu/20355	
Editor: 	AgEcon Search	
Relação: 	American Agricultural Economics Association&gt;2004 Annual meeting, August 1-4, Denver, CO

Selected Paper	
Formato: 	28

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